Spatiotemporal Patterns and Predictability of Cyberattacks
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- https://doi.org/10.1371/journal.pone.0124472
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Optimal model-free prediction from multivariate time series
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- https://doi.org/10.1103/PhysRevE.91.052909
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- https://aura.abdn.ac.uk/bitstreams/84b3bda3-1612-4179-a2d9-b4e6fabcc92d/download
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Effects of assortative mixing in the second-order Kuramoto model
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- http://arxiv.org/abs/1504.05447v1
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- https://doi.org/10.1103/PhysRevE.91.052805
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- https://aura.abdn.ac.uk/bitstreams/88ba3679-aeca-406f-b055-e16e4031e9d0/download
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Macroscopic description of complex adaptive networks co-evolving with dynamic node states
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- https://doi.org/10.1103/PhysRevE.91.052801
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- https://aura.abdn.ac.uk/bitstreams/0831be1f-536d-4ffe-9c60-cf8a5c3264b4/download
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Droplet lasers
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- https://doi.org/10.1364/OPN.26.5.000036
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Analysing spatially extended high-dimensional dynamics by recurrence plots
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- https://doi.org/10.1016/j.physleta.2015.01.013
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Anti-synchronization for stochastic memristor-based neural networks with non-modeled dynamics via adaptive control approach
- Digital Object Identifier
- https://doi.org/10.1140/epjb/e2015-50798-9
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Reverse engineering of biochar
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- https://doi.org/10.1016/j.biortech.2015.02.043
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- https://aura.abdn.ac.uk/bitstreams/1ed705aa-1733-4fc0-afe7-c4a1c191ce6e/download
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Network inference in the presence of latent confounders: The role of instantaneous causalities
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- https://doi.org/10.1016/j.jneumeth.2015.02.015
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Local Difference Measures between Complex Networks for Dynamical System Model Evaluation
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- https://doi.org/10.1371/journal.pone.0118088
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